People generally think of Big Data as something generated by machines or
large communities of people interacting with the digital world. But
technological progress means that each individual is currently, or soon
will be, generating masses of digital data in their everyday lives. In
every interaction with an application, every web page visited, every time
your telephone is turned on, you generate information about yourself,
Personal Big Data. With the rising adoption of quantified self gadgets,
and the foreseeable adoption of intelligent glasses capturing daily life,
the quantity of personal Big Data will only grow. In this Personal Big
Data, as in other Big Data, a key problem is aligning concepts in the same
semantic space. While concept alignment in the public sphere is an
understood, though unresolved, problem, what does ontological organization
of a personal space look like? Is it idiosyncratic, or something that can
be shared between people? We will describe our current approach to this
problem of organizing personal data and creating and exploiting a personal
semantics.